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PUBLICATIONS

Enhancing LAA Co-existence Using MIMO Under Imperfect Sensing

Published

Author(s)

Somayeh Mosleh, Yao Ma, Jason B. Coder, Erik Perrins, Lingjia Liu

Abstract

To meet the ever growing wireless network demands, in terms of subscribers and data throughput, operating long term evolution (LTE) in unlicensed bands, also known as license assisted access (LAA), is introduced as a promising solution. However, the LAA network must co-exist with incumbent IEEE 802.11 systems. In this paper, we introduce MIMO operation to boost the LAA-WiFi coexistence. We take the impact of imperfect sensing into account and analyze the key performance indicators (KPIs), such as throughput, and probabilities of successful transmissions and collisions. Moreover, the optimal LAA contention window size is characterized to maximize the LAA sum rate while assuring Wi-Fi throughput above a predetermined threshold. Numerical results show the efficiency of the introduced algorithm.
Proceedings Title
2019 IEEE Global Communications Conference Workshop on Advancements in Spectrum Sharing
Conference Dates
December 13, 2019
Conference Location
Waikoloa, HI
Pub Type
Conferences

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Keywords

Beamforming, Coexistence, Contention window, Imperfect sensing, LTE-LAA, MAC layer, PHY layer, WLAN
Wireless (RF), Network modeling and analysis, Next generation networks, Modeling and simulation research and Mobile and wireless networking

Citation

Mosleh, S. , Ma, Y. , Coder, J. , Perrins, E. and Liu, L. (2019), Enhancing LAA Co-existence Using MIMO Under Imperfect Sensing, 2019 IEEE Global Communications Conference Workshop on Advancements in Spectrum Sharing, Waikoloa, HI, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928713 (Accessed October 16, 2025)

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Created December 13, 2019, Updated January 27, 2020
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